Yazarlar |
Gokmen Arslan
|
Metin Bulus
|
Silvia Majercakova Albertova
|
Dr. Öğr. Üyesi Muhammet COŞKUN
Kafkas Üniversitesi |
Özet |
The present study addressed the need to understand the ingredients of complete mental health, approached as a combination of positive indicators such as resilient mindset and negative indicators such as psychological distress. The purpose of this study is to identify and investigate latent profiles in college students based on levels of psychological distress indicators of somatization, anxiety, and depression and resilient mindset, and to examine relationships between the identified latent profiles and psychosocial variables. The sample of the study included 388 participants and majority of students were female (75%). The mean age of participants was 22.54 (SD = 3.24, range = 18 to 38 years). The results indicated that young adults' reported mental health clustered into different groups based on predictors of three psychological distress indicators and resilient mindset, as predicted by adaptive and maladaptive traits. In total, three main profiles emerged for anxiety and depression, considering the predictors of resilient mindset and psychological distress measures, with the exception of somatization (which had two profiles). Although similar profiles were observed for anxiety and depression, they also exhibited distinct patterns in certain resilience indicators depending on their levels. Overall, however, individuals in resilient profile were significantly higher in measures of adaptive traits, and they scored significantly lower in maladaptive traits compared to other groups. On the other hand, individuals in moderate and nonadaptive profiles were respectively characterized by greater levels of maladaptive traits. The results suggest that conjunctive identification of resilient mindset and different psychological distress indicators is integral to understanding the psychosocial adjustment and functioning of young adults. |
Anahtar Kelimeler |
Resilient mindset | Psychological distress | Latent profile analysis | Complete mental health |
Makale Türü | Özgün Makale |
Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale |
Dergi Adı | CURRENT PSYCHOLOGY |
Dergi ISSN | 1046-1310 |
Dergi Tarandığı Indeksler | SSCI |
Dergi Grubu | Q2 |
Makale Dili | İngilizce |
Basım Tarihi | 04-2024 |
Cilt No | 43 |
Sayı | 16 |
Sayfalar | 14229 / 14243 |
Doi Numarası | 10.1007/s12144-023-05372-9 |
Makale Linki | http://dx.doi.org/10.1007/s12144-023-05372-9 |